• The Korean Journal of Elementary Counseling
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• v.9 no.1
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• pp.1-20
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• 2010

This research was carried out to see that to what extent KSD reaction can be related to types of sociometric status, and it was carried out on the basis of an hypothesis that KSD reactions of elementary school students in high grades(4th, 5th, 6th grades) would vary according to gender and 5 types of sociometric status, For that purpose, sociometry which were developed by Ahn Iehwan(2007) and KSD, were implemented with students of 20 classes (5 classes of 4th grade, 5 classes of 5th grade and 10 classes of 6th grade) at an elementary school in A city. Number of students surveyed was 366 and it was not exactly the stratified cluster sampling method. To verify 3 hypotheses, independent samples t-test, one way ANOVA, discriminant analysis were made. As a result, there was statistically significant difference in action factor and characteristics factor among 3 factors of KSD reaction by gender, but there was not statistically significant difference in dynamics factor. The result of one way ANOVA showed there was statistically significant difference in characteristics factor and dynamics factor among female students, but there was not statistically significant difference in action factor. Therefore, it was understood that characteristics factor of KSD reaction was closely related to gender difference and types of sociometric status. From the result of this research, it was considered necessary to review KSD scoring system suggested by 田中志帆(2009). And lastly, it was observed that KSD reaction was not effective in evaluating sociometry, and a new approach to the projective drawing test was suggested as a supplementary method for sociometry.

• Journal of Internet Computing and Services
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• v.19 no.5
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• pp.89-96
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• 2018

In online communities, a large number of participants can exchange their opinion using replies without time and space restrictions. While the online space provides quick and free communication, it also easily triggers unnecessary quarrels and conflicts. The network established on the discussion participants is an important cue to analyze the confrontation and predict serious disputes. In this paper, we present a quantitative measure for polarity observed on the discussion network built from reply exchanges in online communities. The proposed method uses the comment exchange information to establish the user interaction network graph, computes its maximum spanning tree, and then performs vertex coloring to assign two colors to each node in order to divide the discussion participants into two subsets. Using the proportion of the comment exchanges across the partitioned user subsets, we compute the polarity measure, and quantify how discussion participants are bipolarized. Using experimental results, we demonstrate the effectiveness of our method for detecting polarization and show participants of a specific discussion subject tend to be divided into two camps when they debate.

• Korean Security Journal
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• no.14
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• pp.125-140
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• 2007

This study was to analyze structural equation modeling of organizational culture, human resource management and organization performance in the private security corporation. To attain the goal of the study described above paragraphs, the employee of private security corporation located in Seoul, 2006 year were set as a collected group. Then, using the cluster random sampling method, finally drew out 300 peoples and analyzed 250 peoples in total. The material collection device was the brochure named . The validity of instrument was confirmed by confirmatory factor analysis(CFA) The result of reliability check up was here below; Chronbach' ${\alpha}=.724$. To analyze materials, correlation analysis, CFA, SEM were used as statistic analysis techniques. The conclusion based on above study method and the result of material analysis are follows; First, organizational culture influences on the human resource management. Second, organizational culture influences on the organizational performance. Third, human resource management influences on the organizational performance. Particularly, organizational culture influences indirectly on organizational performance throughout human resource management. Human resource management is very important variable mediating organizational culture and performance.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.14
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• pp.5721-5727
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• 2014

Objectives: To evaluate the performance of clustering methods used in the prognostic assessment of categorical clinical data for hepatocellular carcinoma (HCC) patients in China, and establish a predictable prognostic nomogram for clinical decisions. Materials and Methods: A total of 332 newly diagnosed HCC patients treated with hepatic resection during 2006-2009 were enrolled. Patients were regularly followed up at outpatient clinics. Clustering methods including the Average linkage, k-modes, fuzzy k-modes, PAM, CLARA, protocluster, and ROCK were compared by Monte Carlo simulation, and the optimal method was applied to investigate the clustering pattern of the indices including platelet count, platelet/lymphocyte ratio (PLR) and serum aspartate aminotransferase activity/platelet count ratio index (APRI). Then the clustering variable, age group, tumor size, number of tumor and vascular invasion were studied in a multivariable Cox regression model. A prognostic nomogram was constructed for clinical decisions. Results: The ROCK was best in both the overlapping and non-overlapping cases performed to assess the prognostic value of platelet-based indices. Patients with categorical platelet-based indices significantly split across two clusters, and those with high values, had a high risk of HCC recurrence (hazard ratio [HR] 1.42, 95% CI 1.09-1.86; p<0.01). Tumor size, number of tumor and blood vessel invasion were also associated with high risk of HCC recurrence (all p< 0.01). The nomogram well predicted HCC patient survival at 3 and 5 years. Conclusions: A cluster of platelet-based indices combined with other clinical covariates could be used for prognosis evaluation in HCC.

• Korean Journal of Medicinal Crop Science
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• v.9 no.3
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• pp.186-191
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• 2001

This study was conducted to find the flowering and seed setting characteristics of Eleutherococcus spp. Plants of Eleutherococcus spp. were 7 years old trees reproducted by cutting method using seven species in Gongju. Initial flowering date was foremost by May 9 in E. sieboldianus and hindmost by August 23 in E. divaricatus among seven species. Flowering duration was most short by 20 days in E. sieboldianus and extremely long by 42 days in E. sieboldianus. Number of flowers per plant in E. sieboldianus and E. chilsanensis were higher by 4677 and 4634 than those in E. divaricatus and E. sieboldianus by 780, 84, respectively. The fruit setting percent was the highest in E. sieboldianus by 95% and numbers of fruit setting per cluster showed the highest value by 153 in E. sieboldianus. The seed setting percent was almost same by ${92{\sim}95%}$ in E. sessiliflorus, E. chiisanensis, E. koreanus, E. divaricatus and E. seoulensis, but lower by ${11{\sim}37%}$ in E. senticosus and E. sieboldianus. The dry weight per plant and 100-fruit weight showed the highest value by 270g, 6.7g in E. sessiliflorus, respectively.

• Journal of KIISE:Software and Applications
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• v.26 no.10
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• pp.1193-1203
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• 1999

본 논문에서는 한글과 영문 문서 영상들에 대한 기울어짐 추정(skew estimation) 알고리즘을 제안한다. 제안 방법은 전체 문서 영상에서 텍스트 요소들이 밀집되어 있는 영역을 선별하고, 선별된 영역에 대해 허프 변환을 적용하는 선택적 주의집중(selective attention) 방식을 채택한다. 제안 방법의 기울기 추정 과정은 2단계로 구성되는데, coarse 단계에서는 전체 영상을 몇 개의 영역으로 나누고 동일한 영역에 속하는 데이타들간의 연결 각도를 계산하여 각 영역별 accumulator에 저장한다. accumulator에 저장된 빈도치를 기준으로 $\pm$45$^{\circ}$범위 내에서 최대 $\pm$1$^{\circ}$의 오차를 가진 각 영역별 기울기를 계산한 후, 이들 중 최대 빈도값을 갖는 영역을 선정하고 그 영역의 기울기 각도를 문서 영상의 대략적인 기울기 각도로 결정한다. Refine 단계에서는 coarse 단계에서 선정된 영역에 허프 변환을 적용하여 정확한 기울기를 계산하는데, coarse 단계에서 추정한 기울기의 $\pm$1$^{\circ}$범위 내에서 0.1$^{\circ}$간격으로 측정한다. 이와 같은 선택적 주의집중 방식을 통해 기울기 추정에 소요되는 시간 비용은 최소화하고, 추정의 정확도는 최대화 할 수 있다.제안 방법의 성능 평가를 위한 실험은 다양한 형태의 영문과 한글 문서 영상 2,016개에 적용되었다. 제안 방법의 평균 수행 시간은 Pentium 200MHz PC에서 0.19초이고 평균 오차는 $\pm$0.08$^{\circ}$이다. 또한 기존의 기울기 추정 방법과 제안 방법의 성능을 비교하여 제안 방법의 우수성을 입증하였다.Abstract In this paper we propose a skew estimation algorithm for English and Korean document images. The proposed method adopts a selective attention strategy, in which we choose a region of interest which contains a cluster of text components and then apply a Hough transform to this region. The skew estimation process consists of two steps. In the coarse step, we divide the entire image into several regions, and compute the skew angle of each region by accumulating the slopes of lines connecting any two components in the region. The skew angle is estimated within the range of $\pm$45 degree with a maximum error of $\pm$1 degree. Next we select a region which has the most frequent slope in the accumulators and determine the skew angle of the image roughly as the angle corresponding to the most frequent slope. In the refine step, a Hough transform is applied for the selected region within the range of $\pm$1 degree along the angle computed from the coarse step, with an angular resolution of 0.1 degree. Based on this selective attention strategy, we can minimize the time cost and maximize the accuracy of the skew estimation.We have measured the performance of the proposed method by an experiment with 2,016 images of various English and Korean documents. The average run time is 0.19 second on a Pentium 200MHz PC, and the average error is $\pm$0.08 degree. We also have proven the superiority of our algorithm by comparing the performance with that of other well-known methods in the literature.

• Journal of Korean Society of Transportation
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• v.36 no.2
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• pp.98-111
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• 2018

Truck platooning, which is a cluster of trucks in support of vehicle-to-vehicle communication and automated longitudinal vehicle control, is a promising method to both operational efficiency and prevent traffic crashes. Although a variety of studies have been conducted to identify the effects of vehicle platooning on traffic stream, we are not aware of any study attempting to identify promising road segments for vehicle platooning. This study aims to develop a methodology for determining the priority of freeway segments that would potentially lead to maximize the effectiveness of truck platooning. Evaluation measures derived in this study includes truck crash rates, the percentage of truck traffic, segment length, and the number of entry and exit points. Weighting values obtained from an analytical hierarchical process (AHP) method were applied to compute the proposed priority score to determine better freeway segment for truck platooning. Results suggested that a 46.9km freeway segment, from Sacheon IC to Sanin JC, was the most promising segment for maximizing the effectiveness of truck platooning. It is expected that the outcome of this study would be effectively used as a fundamental to establish operational strategies for truck platooning.

• The Journal of the Korea Contents Association
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• v.7 no.11
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• pp.280-288
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• 2007

The purposes of this study were to examine the relationship between participation in sport for all, social support and solitude among the aged. To attain the goal of the study described above paragraphs, the older person resided in Seoul and Gyonggi, 2006 year were set as a collected group. Then, using the cluster random sampling method, finally drew out and analyzed 245 people in total. The result of reliability check up was here below; over Chronbach's ${\alpha}$=.775. To analyze materials, factor analysis, ANCOVA, multiple regression analysis and path analysis were used as statistic analysis techniques. The conclusion based on above study method and the result of material analysis are below. Based upon the result of the study, the conclusions are the followings; First, participation experience of sport for all don't influence on the social support. Second, participation experience of sport for all influence on the solitude. Third, participation degree of sport for all influence on the social support. Fourth, participation degree of sport for all influence on the solitude. Fifth, participation in sport for all indirectly and directly influence on the social support and solitude.

• Bulletin of the Korean Chemical Society
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• v.30 no.5
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• pp.1121-1126
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• 2009

This paper describes a pattern recognition method of Magnoliae flos based on a gas chromatographic/mass spectrometric (GC/MS) analysis of the essential oil components. The botanical drug is mainly comprised of the four magnolia species (M. denudata, M. biondii, M. kobus, and M. liliflora) in Korea, although some other species are also being dealt with the drug. The GC/MS separation of the volatile components, which was extracted by the simultaneous distillation and extraction (SDE), was performed on a carbowax column (supelcowax 10; 30 m{\time}0.25 mm{\time}0.25{\mu}m$) using temperature programming. Variance in the retention times for all peaks of interests was within RSD 2% for repeated analyses (n = 9). Of the 74 essential oil components identified from the magnolia species, approximately 10 major components, which is $\alpha$-pinene, $\beta$-pinene, sabinene, myrcene, d-limonene, eucarlyptol (1,8-cineol), $\gamma$-terpinene, p-cymene, linalool, $\alpha$-terpineol, were commonly present in the four species. For statistical analysis, the original dataset was reduced to the 13 variables by Fisher criterion and factor analysis (FA). The essential oil patterns were processed by means of the multivariate statistical analysis including hierarchical cluster analysis (HCA), principal component analysis (PCA) and discriminant analysis (DA). All samples were divided into four groups with three principal components by PCA and according to the plant origins by HCA. Thirty-three samples (23 training sets and 10 test samples to be assessed) were correctly classified into the four groups predicted by PCA. This method would provide a practical strategy for assessing the authenticity or quality of the well-known herbal drug, Magnoliae flos.

• The Journal of the Acoustical Society of Korea
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• v.37 no.3
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• pp.147-155
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• 2018

In this paper, we tried to find out sound quality metrics to express discomfort of overload excavator noise and to develop sound quality indexes through multiple regression analysis by using them. For this purpose, the interior noise of cabin under overload condition was recorded for six excavator models with different noise properties and Jury test was carried out by PCM (Paired Comparison Method) and MEM (Magnitude Estimation Method). Jury test result with low consistency was classified into two groups with different preference tendencies by cluster analysis and multiple regression analysis was conducted in order to find out which sound quality metrics have significant effects on discomfort(low preference). As a result, we figured out that the sound quality metrics to express the discomfort were the partial loudness (= $PN_{10Bark}$) between 0 and 10 Bark in case of group1 and the difference between engine noise(= $dB_{EG}$) and hydraulic system noise ($dB_1$) in case of group2. Using the results of preference ranking and tendency analysis of PCM followed by the correlation analysis between PCM and MEM, the more reliable results were adopted by excluding the data with low consistency obtained from Jury test via MEM.